Learning features from irrelevant domains through deep neural network

Abstract Features of data are much critical to the classification. However, when only small data are available, suitable features can not be easily obtained, easily leading to the bad classification performance. This paper propose a novel approach to automatically learns features from the irrelevant...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Complex & Intelligent Systems
المؤلفون الرئيسيون:	Pengcheng Wen, Yuhan Zhang, Guihua Wen
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Springer 2023-07-01
الموضوعات:	Classification Irrelevant domain Feature learning Machine learning Deep neural network
الوصول للمادة أونلاين:	https://doi.org/10.1007/s40747-023-01157-6